datalife-2019/notebook.ipynb

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 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "colNames = ['date', 'value']\n",
    "meditateChecks = pd.read_csv('LoopHabits/002 Meditate/Checkmarks.csv', names=colNames, header=None)\n",
    "meditateScore = pd.read_csv('LoopHabits/002 Meditate/Scores.csv', names=colNames, header=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "def only2019(df):\n",
    "    df['drop'] = df['date'].apply(lambda x: 0 if x[0:4] == '2019' else 1)\n",
    "    df = df.drop(df[df['drop'] == 1].index)\n",
    "    df = df.drop(columns=['drop'])\n",
    "    return df\n",
    "\n",
    "def onlyMarch(df):\n",
    "    # For habits only, lost my phone in late Febuary, didn't have a recent backup\n",
    "    df['drop'] = df['date'].apply(lambda x: 1 if x[5:7] == '01' or x[5:7] == '02' else 0)\n",
    "    df = df.drop(df[df['drop'] == 1].index)\n",
    "    df = df.drop(columns=['drop'])\n",
    "    return df\n",
    "\n",
    "def longestZero(df):\n",
    "    # reverse the series so dates are ascending (increasing?)\n",
    "    # pad out the series with 0s, then diff it to track total, use that total to calculate highest streak\n",
    "    # streak increases when sum is 0\n",
    "    diffStreak = pd.concat([pd.Series([0]) , df[::-1].value, pd.Series([0])]).diff().tolist()\n",
    "    runningSum = 0\n",
    "    streak = 0\n",
    "    streakList = []\n",
    "    for e in diffStreak[1:-1]:\n",
    "        runningSum += e\n",
    "        if runningSum == 0:\n",
    "            streak += 1\n",
    "        else:\n",
    "            streakList.append(streak)\n",
    "            streak = 0\n",
    "    return sum(streakList)\n",
    "\n",
    "def longestStreak(df):\n",
    "    # reverse the series so dates are ascending (increasing?)\n",
    "    # pad out the series with 0s, then diff it to track total, use that total to calculate highest streak\n",
    "    # streak increases when sum is non-zero\n",
    "    diffStreak = pd.concat([pd.Series([0]) , df[::-1].value, pd.Series([0])]).diff().tolist()\n",
    "    runningSum = 0\n",
    "    streak = 0\n",
    "    streakList = []\n",
    "    for e in diffStreak[1:-1]:\n",
    "        runningSum += e\n",
    "        if runningSum != 0:\n",
    "            streak += 1\n",
    "        else:\n",
    "            streakList.append(streak)\n",
    "            streak = 0\n",
    "    return sum(streakList)\n",
    "\n",
    "def bestMonth(df):\n",
    "    pass\n",
    "\n",
    "def worstMonth(df):\n",
    "    pass\n",
    "\n",
    "def averagePerMonth(df):\n",
    "    pass\n",
    "\n",
    "def plotScore(df):\n",
    "    pass\n",
    "\n",
    "def countZeros(df):\n",
    "    return (df.value == 0).astype(int).sum()\n",
    "\n",
    "def countValue(countValue, df):\n",
    "    return (df.value == countValue).astype(int).sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Days done: 72\n",
      "Non-streak days: 195\n",
      "Streak days: 39\n"
     ]
    }
   ],
   "source": [
    "print(\"Days done: \" + str(countValue(2, onlyMarch(only2019(meditateChecks)))))\n",
    "print(\"Non-streak days: \" + str(countZeros(onlyMarch(only2019(meditateChecks)))))\n",
    "print(\"Streak days: \" + str(countValue(1, onlyMarch(only2019(meditateChecks)))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "306\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "299"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(72 + 195 + 39)\n",
    "longestStreak(onlyMarch(only2019(meditateChecks))) + longestZero(onlyMarch(only2019(meditateChecks)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Why don't the above two numbers match??"
   ]
  }
 ],
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